Abstract
In recent years, microblogging platforms have not only become an important communication channel for the game industry to generate and uphold audience interest but also a rich resource for gauging player opinion. In this paper we use data gathered from Twitter to examine which topics matter to players and to identify influential members of a game's community. By triangulating in-game data with Twitter activity we explore how tweets can provide contextual information for understanding fluctuations in in-game activity. To facilitate analysis of the data we introduce a visual data exploration tool and use it to analyze tweets related to the game Destiny. In total, we collected over one million tweets from about 250,000 users over a 14-month period and gameplay data from roughly 3,500 players over a six-month period.
| Original language | English |
|---|---|
| Title of host publication | CHI 2018 - Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems |
| Subtitle of host publication | Engage with CHI |
| Place of Publication | New York |
| Publisher | Association for Computing Machinery, Inc. |
| Number of pages | 13 |
| ISBN (Electronic) | 978-1-4503-5620-6 |
| DOIs | |
| Publication status | Published - 20 Apr 2018 |
| Externally published | Yes |
| Event | 2018 CHI Conference on Human Factors in Computing Systems, CHI 2018 - Montreal, Canada, Montreal, Canada Duration: 21 Apr 2018 → 26 Apr 2018 Conference number: 36 http://chi2018.acm.org |
Conference
| Conference | 2018 CHI Conference on Human Factors in Computing Systems, CHI 2018 |
|---|---|
| Abbreviated title | CHI 2018 |
| Country/Territory | Canada |
| City | Montreal |
| Period | 21/04/18 → 26/04/18 |
| Internet address |
Keywords
- Destiny
- Gameplay data
- Online community
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